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关于智能体人工智能的最新出版物和专利

人工智能代理

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智能体人工智能通过迭代过程实现自主、目标导向的决策,从而彻底改变了产品设计。

智能人工智能是指能够自主地追求多步骤目标的AI系统,它通过感知、规划、工具使用和自我纠正循环进行迭代,而无需在每个决策点进行人工干预——这是一种结构上的转变,它从单轮响应模型转向将复杂目标分解为子任务、针对外部环境执行操作、评估结果并相应地修改计划的架构。

典型的代理架构将大型语言模型推理核心与工具注册表--网络浏览器、代码解释器、API 客户端、文件系统、数据库接口--以及跨越短期工作上下文、过去行动的偶发记录和检索的长期知识的记忆架构结合在一起,使代理能够在超出任何单一上下文窗口的扩展交互视野中保持连贯的目标追求。多代理配置进一步扩展了这一功能,将子任务分配给由协调者协调的专门代理,引入代理间 沟通 协议、结果聚合和冲突解决是额外的架构问题。.

The publications and patents indexed below address planning algorithms, tool use architectures, memory systems, multi-agent coordination protocols, agent evaluation benchmarks, and safety constraint 方法.

这是我们最新精选的全球范围内关于人工智能(Agentic AI)的英文出版物和专利,涉及众多科学在线期刊,分类并侧重于人工智能(Agentic AI)、人工智能代理(AI agent)、自主人工智能代理(AI agent)、多代理系统(multi-agent system)、人工智能代理协调(AI agent orchestration)、代理规划循环(agent planning loop)、ReAct agent、思维链规划(chain-of-thought planning)、使用工具的人工智能代理(AI agent)、函数调用人工智能(AI)、人工智能代理记忆(AI agent memory)、长期代理记忆(long-term agent memory)、偶发代理记忆(episodic agent memory)、代理工作记忆、人工智能代理任务分解、分层代理规划、人工智能代理自我修正、人工智能代理反思、人工智能代理评估、代理奖励塑造、人工智能代理沙箱、代理安全护栏、多代理协调、代理通信协议、人工智能代理工具注册表、代码执行代理、网络浏览代理、检索增强代理、代理基准评估和人在环代理。.

Ai agent for core network

Patent published on the 2026-10-15 in WO under Ref WO2026213740 by NOKIA TECH OY [FI] (Gajic Borislava [de], Sun Shu Qiang [cn], Abdelkader Abdelrahman [de], Khatibi Sina [de], Schirilla Achill Andreas [de])

Abstract: Example embodiments of the present disclosure are directed to artificial intelligence (AI) agent for core network. A first network entity receives, from a second network entity or an apparatus, a request originated from the apparatus for an agentic service. The first, second network entities and the apparatus implement an AI agent. The first network entity determines a plan for the agentic service at least based on capability information of at least one device. The plan is associated with one or[...]


Our summary: An AI agent for core networks processes requests for agentic services. It determines a service plan based on device capabilities and executes associated tasks. The execution status is communicated back to the requesting entity.

AI agent, core network, agentic service, execution status

Patent

Ai agent and generative ai-based b2b solution comparison, recommendation, and deployment automation system and method

Patent published on the 2026-10-08 in WO under Ref WO2026212264 by IMPACT FLOW INC [KR] (Ryu Hyokwon [kr])

Abstract: Disclosed is a B2B solution deployment automation apparatus and a method that use an AI agent and a generative AI model to generate user requirement-based B2B solution recommendations and comparison reports, and furthermore, automatically orchestrate a deployment process such as integration configuration, API connection, and data migration, and provide operational optimization feedback through calculation of performance, cost, and security indices.[...]


Our summary: The system automates B2B solution deployment using an AI agent and generative AI model. It generates user requirement-based recommendations and comparison reports. The method also orchestrates integration, API connections, and data migration while providing optimization feedback.

B2B solutions, AI agent, generative AI, deployment automation

Patent

Secured distributed network context management for ai agent

Patent published on the 2026-10-08 in WO under Ref WO2026209409 by NOKIA TECH OY [FI] (Aggarwal Chaitanya [de], Gajic Borislava [de], Tang Haitao [fi], Mishra Rajendrakumar Premnarayan [in])

Abstract: Example embodiments of the present disclosure are directed to secured distributed network context management for an artificial intelligence (AI) agent. A method comprises verifying, based on a context distribution policy associated with a second apparatus comprised in the at least one apparatus, that a network context is authorized to be provided to the second apparatus, wherein the context distribution policy indicates identifier information of the second apparatus and an indication of a networ[...]


Our summary: The method verifies network context authorization based on a context distribution policy. It identifies the second apparatus and the allowed network context. The authorized context is transmitted to the second apparatus for a generative AI agent.

secured distributed network, context management, artificial intelligence, policy verification

Patent

Collaborative and cooperative processing method for tasks in wireless network system, wireless network system, electronic device and computer program

Patent published on the 2026-10-08 in WO under Ref WO2026208347 by ZTE CORP [CN] (Yang Li [cn], Sun Wenwen [cn], Xie Feng [cn])

Abstract: Provided in the embodiments of the present disclosure are a collaborative and cooperative processing method for tasks in a wireless network system, a wireless network system, an electronic device and a computer program product, wherein the method is applied to a network element node, a communication-computing service layer and an AI agent (AA) task layer being deployed on the network element node, and the AA task layer comprising one or more AA functional entities. The method comprises: the AA t[...]


Our summary: The method enables collaborative processing for tasks in a wireless network system. It involves interaction between an AI agent task layer and a communication-computing service layer. This approach addresses efficient cooperation between different network element nodes across various vendors.

collaborative processing, wireless network, AI agents, task cooperation

Patent

System and method for accelerating operations of an ai agent on a digital interface

Patent published on the 2026-10-08 in US under Ref US20260311007 by EVINCED INC [US] (Synett Yossi [il], Moav Gal [il], Thadani Navin R [us], Or Evyatar Yaakov [il], Hakman Tair [il], Orgil Kfir Yehuda [il], Bracha Ben [il])

Abstract: [0000] The method and system for accelerating operations of an AI agent is presented. The method includes receiving, by a first AI agent, a task to be performed on at least one digital interface based on a natural language request from a client device; extracting, by the first AI agent, at least one learned skill to be used by the first AI agent for completing the task based on accessibility semantics of at least one component of the at least one digital interface, wherein learned skills are cap[...]


Our summary: The system accelerates AI agent operations on digital interfaces. It involves receiving tasks from client devices and extracting learned skills based on accessibility semantics. The AI agent completes tasks using these skills effectively.

AI agent, digital interface, natural language processing, learned skills

Patent

Novel edge-based multi-agent system for real-time data validation and quality grading

Patent published on the 2026-10-08 in US under Ref US20260312968 by PARA RAGHU KUL THILAK [CA] (Para Raghu Kul Thilak [ca])

Abstract: [0000] present invention relates to an edge-based multi-agent data validation system that executes specialized checks (schema, domain, semantic, anomaly) on incoming data streams in near real time. A coordinator module aggregates validation outputs and assigns a quality tier label (bronze, silver, or gold) to each data unit. This immediate classification prevents contaminated data from infiltrating downstream pipelines, thereby reducing bandwidth usage and storage overhead. Agents autonomously a[...]


Our summary: The invention presents an edge-based multi-agent system for real-time data validation. It performs specialized checks on incoming data streams and assigns quality tier labels. The system enhances data integrity and reduces resource usage in distributed environments.

multi-agent system, data validation, real-time processing, edge computing

Patent

A Scoping Review

Published on 2026-02-01 by Jonathan Gibson, Praveen Chinniah, Shashank Chapala, Ojasvi Vemuri, Rajesh Botchu @MDPI

Abstract: Objectives: Artificial intelligence (AI) is a transformative development in the field of medicine. In the field of musculoskeletal radiology, agentic AI is a technology that could flourish, but currently, the limited evidence base is fragmented and sparse, and we present a scoping review of it. Methods: Parallel searches were conducted in four databases: PubMed, Embase, Scopus, and Web of Science. Search terms included all agentic AI and autonomous AI agents, as well as radiology. All papers und[...]


Our summary: This scoping review evaluates the potential of agentic AI in musculoskeletal radiology. It identifies eleven relevant studies highlighting improved decision support, workflow optimization, and image analysis. Despite promising findings, the evidence base remains limited and theoretical.

AI in Radiology, Musculoskeletal Imaging, Workflow Optimization, Decision Support

Publication

A Novel Security Index for Assessing Information Systems in Industrial Organizations Using Web Technologies and Fuzzy Logic

Published on 2026-01-29 by Sulieman Khaddour, Fares Abu-Abed, Valery Bogatikov @MDPI

Abstract: Industrial information systems based on web technologies (ISOWT) face escalating security challenges, particularly in critical sectors such as energy. Traditional qualitative security assessments often lack the ability to deliver actionable, real-time insights for managing complex, dynamic threats. This paper proposes a novel security index for evaluating ISOWT in industrial organizations by integrating fuzzy logic, metric-based evaluation, fuzzy Markov chains, and multi-agent systems. The propo[...]


Our summary: This paper introduces a novel security index for evaluating industrial information systems using web technologies and fuzzy logic. It quantifies deviations from an ideal safety center, enabling early risk detection and proactive mitigation. The methodology shows significant improvements in security metrics and outperforms existing assessment techniques.

Security Index, Fuzzy Logic, Information Systems, Web Technologies

Publication

涵盖的主题: 代理人工智能、自主决策、迭代过程、多步骤目标、感知、规划、工具使用、自我修正循环、大型语言模型、内存架构、多代理配置、代理间通信协议、规划算法、代理评估基准、安全约束方法、冲突解决、协调器 ISO/IEC 27001、ISO/IEC 25010、ISO 9241、ISO/IEC 2382 和 IEEE 1012。.

常用术语表

Application Programming Interface (API): 一组允许不同软件应用程序相互通信和交互的规则和协议,实现系统之间的功能集成和数据交换。

Large Language Model (LLM): 该统计模型基于海量文本数据集进行训练,能够理解和生成类人类语言。它利用深度学习技术,特别是神经网络,来预测词序列并执行各种自然语言处理任务。

历史背景

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(如果日期未知或不相关,例如“流体力学”,则提供其显著出现的近似估计)

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